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UOT 004
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ITI əməkdaşlarının elmi işləri - tezis |
Biblioqrafik təsvir | Kazimov , T.H. Application of LSTM-GRU combined model to calculate the reliability of software systems / T.H. Kazimov , T.A. Bayramova // 4th International Conference on Evolutionary Computing and Mobile Sustainable Networks. - Coimbatore, 2024. - P. 1-9. | Annotasiya | This study investigated the effectiveness of deep learning models in assessing the reliability of software systems and
the application of recurrent neural network algorithms in reliability prediction. A hybrid model consisting of a
combination of LSTM and GRU models is proposed to predict the reliability of software systems. Along with
historical data collected during testing and implementation, several environmental factors covering the software life
cycle and affecting its reliability, as well as the complexity of the software code, are taken as input. Based on these
data, a new method for expert assessment of software reliability is proposed, and the calculated expert scores are taken
as output. The proposed model is trained based on these values. This is a comprehensive approach to assessing the
reliability of software systems. | | Elektron variant | Elektron variant |
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